The Skin Product Recommendation System is a novel approach that attempts to provide users with personalized skincare product recommendations based on their own skin types, concerns, and preferences. Relying on advanced machine learning algorithms and a carefully curated database of skincare products and user reviews, the system attempts to simplify the traditionally intimidating task of selecting skincare products. Through user input such as skin type, age, concerns (e.g., acne, dryness, sensitivity), and ingredient tolerance, the system provides personalized recommendations based on individual users’ needs. Feature selection for the most relevant product features and the application of an easy-to-use interface are also included in this project. As there is a growing interest in individualized skincare solutions, the system bridges the gap for precise, reliable, and convenient recommendations.